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Record W4389050482 · doi:10.1017/lsi.2023.59

Children of War Resisters: Intergenerational Transmission of Activism, Political Orientation, Injustice Frames, and Law Resistance

2023· article· en· W4389050482 on OpenAlexaboutno aff
Wenona Rymond–Richmond

Bibliographic record

VenueLaw & Social Inquiry · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInjusticeResistance (ecology)PoliticsPolitics of the United StatesPolitical scienceGender studiesLawSpanish Civil WarCriminologySociology

Abstract

fetched live from OpenAlex

American Vietnam War resisters participated in one of the largest politically motivated emigrations in US history. John Hagan provided the most comprehensive study of American war resisters living in Canada in his award-winning book Northern Passage . Hagan documented how law resistance intersected with social movement participation and sustained activism. In this article, I extend Hagan’s life course analysis of law resistance by interviewing fifty-one adult children of the war resisters originally in Hagan’s sample, supplemented with eighteen surveys completed by the parents about their child, producing eighty-two distinct parent-child relationship pairs. This unique intergenerational study finds that American war resister parents radically influenced their offspring’s activism. The adult children of war resisters highly resemble their parents’ political views and activism. Further, I elaborate on the concept of a participation identity to suggest four fundamental mechanisms that facilitate activism of the offspring of war resisters: (1) resonates with their identities and life histories; (2) inspired by their parents’ activism; (3) adoption of an injustice frame; and (4) optimism that social movements are effective vehicles of social change. This research demonstrates that American war resister children in Canada are both attitudinally disposed to, and structurally available for, activism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.341
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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